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Ratings and Reviews 0 Ratings
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What is Oracle Enterprise Metadata Management?
Oracle Enterprise Metadata Management (OEMM) is a powerful solution designed for the effective management of metadata. It can harvest and catalog metadata from numerous sources, including relational databases, Hadoop environments, ETL processes, business intelligence systems, and data modeling tools. OEMM does more than simply store metadata; it also enables users to interactively search and browse through the data, while providing essential features like data lineage tracking, impact analysis, and the analysis of both semantic definitions and usage for every asset in its catalog. Utilizing advanced algorithms, OEMM seamlessly integrates metadata from various providers, resulting in a detailed view of the data's journey from its initial source to its final presentation or report. The platform supports a wide range of metadata sources, encompassing data modeling tools, databases, CASE tools, ETL engines, data warehouses, BI systems, and EAI environments, among others. This broad compatibility allows organizations to efficiently manage their metadata across multiple environments. Ultimately, OEMM empowers businesses to maximize the value of their data assets, enhancing decision-making and operational efficiency.
What is Metaphor?
By automating the indexing of warehouses, lakes, dashboards, and other elements within your data ecosystem, Metaphor significantly improves data visibility through the integration of utilization metrics, lineage tracking, and indicators of social popularity, ensuring that the most dependable data is presented to your audience. This holistic perspective on data encourages organizational discussions and guarantees that critical information is easily accessible to all team members. Engage effectively with clients by sharing catalog artifacts and documentation directly through Slack, allowing for seamless communication. Additionally, you can tag important discussions in Slack and associate them with specific data points, which encourages collaboration and aids in the organic discovery of relevant terms and usage patterns, thereby dismantling communication barriers. Navigating through your entire data stack becomes a straightforward task, enabling the creation of both detailed technical documentation and user-friendly wikis tailored for non-technical users. You can also offer users direct support via Slack while utilizing the catalog as a Data Enablement tool, thus refining the onboarding experience for a more customized approach. Ultimately, this strategy not only boosts data accessibility but also significantly enhances the data literacy across your organization, empowering all members to make informed decisions. By fostering an environment of collaboration, Metaphor helps build a data-driven culture within your workplace.
Integrations Supported
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Google Cloud BigQuery
Google Cloud Platform
Looker
Metabase
Microsoft Power BI
Okta
Integrations Supported
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Google Cloud BigQuery
Google Cloud Platform
Looker
Metabase
Microsoft Power BI
Okta
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/middleware/technologies/enterprise-metadata-management.html
Company Facts
Organization Name
Metaphor Data
Date Founded
2020
Company Location
United States
Company Website
metaphor.io
Categories and Features
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge